Deep learning industrial vision for the food industry
Deep Capture enables the identification and detection of multiple defect classes in real-time at a rate of approximately 5,000 pieces per hour.
The deep learning industrial vision system is integrated on a conveyor at the output of an aerial cutting and deboning system.
Examples of detected defect classes include
The complexity of the task lies in the variability of product shapes and appearances, as well as the fact that certain defects are subject to interpretation.
